VOLUNTARY DISCLOSURES and EARNINGS SURPRISES: the CASE of HIGH-TECH FIRMS in PERIODS of BAD ECONOMIC NEWS John Shon, Fordham University

Total Page:16

File Type:pdf, Size:1020Kb

VOLUNTARY DISCLOSURES and EARNINGS SURPRISES: the CASE of HIGH-TECH FIRMS in PERIODS of BAD ECONOMIC NEWS John Shon, Fordham University ACCOUNTING & TAXATION ♦ Volume 1♦ Number 1♦ 2009 VOLUNTARY DISCLOSURES AND EARNINGS SURPRISES: THE CASE OF HIGH-TECH FIRMS IN PERIODS OF BAD ECONOMIC NEWS John Shon, Fordham University ABSTRACT In this study, I examine the voluntary disclosure behavior of high-tech firms experiencing bad economic news. I create a sample of 100 randomly-selected firm-quarters with negative returns—but not necessarily negative earnings surprises. I find that: (i) the unconditional relation between earnings surprises and voluntary disclosures is non-existent in this setting where negative stock returns are controlled for, but (ii) firms with negative earnings surprises make forward-looking statements with more negative information content—but only when conditioned on firm size or growth opportunities. Sample selection procedures can therefore affect inferences drawn from voluntary disclosure behavior documented in extant studies. Conditional analysis reveals how the earnings-disclosure relation cross- sectionally varies with firms’ economic characteristics. JEL: M40, D82 KEYWORDS: Voluntary disclosures, earnings surprise, bad economic news, litigation risk INTRODUCTION n this study, I examine the voluntary disclosure behavior of firms with bad economic news. The goal of the study is two-fold. First, I examine the relation between voluntary disclosures and earnings Isurprise —but do so only after explicitly controlling for negative stock returns. Controlling for negative returns is particularly important for studies that examine bad news disclosures because they are a necessary condition of Rule 10b-5 litigation. Other studies fail to control for this, and may suffer from a correlated omitted variables problem; such studies may therefore draw incorrect inferences about the earnings-disclosure relation, or find results that are inconsistent with litigation predictions. My second goal is to examine the cross-sectional determinants of the earnings-disclosure relation. That is, does the earnings-disclosure relation systematically vary across different economic settings? For instance, a firm with relatively high growth opportunities may exhibit an earnings-disclosure relation that is quite different from that of a firm with relatively low growth opportunities. This conditional analysis provides a deeper understanding to our current knowledge of how earnings surprises affect voluntary disclosure behavior, and sheds light on why prior studies may find conflicting results. I randomly select 100 firm-quarters in high-tech industries that experience negative market-adjusted returns during the quarter. Because I do not impose requirements on earnings, the firms do not necessarily exhibit a negative earnings surprise. I collect the voluntary disclosures made during the quarter for each of these firms, and then examine the possible sources of variation in the number and information content of these disclosures. I estimate a model of voluntary disclosures regressed on earnings surprise—and interactions of the surprise with economic characteristics. I find the following results. First, I find that earnings surprises are not related to the number of disclosures in any meaningful manner. Second, related to the interaction terms, I find that firms with more negative earnings surprises make forward-looking statements with more negative information content—but only when conditioned on firm size or growth opportunities. That is, negative earnings surprises have an impact on the disclosure decision, but only for firms that are large in size or have high growth opportunities. Conversely, negative earnings surprises do not seem to affect disclosure behavior for firms that are small in size or have low growth opportunities. 1 J. Shon AT♦ Vol. 1 ♦ No. 1 ♦ 2009 Since unconditional earnings surprises are found to have no relation to information content, this result highlights the importance of the conditional analysis. One empirical result that consistently emerges from my analysis is the absence of an unconditional relation between earnings surprise and voluntary disclosure behavior. This is most consistent with the findings of Lang and Lundholm (1993) and less consistent with the findings of, e.g., Skinner (1994) or Miller (2002). Specifically, Lang and Lundholm find a positive relation between earnings and disclosure quality, but find that this relation ceases to exist when stock returns are subsequently controlled for— perhaps because “returns capture the relevant information in earnings.” In this study, the sample requirement of negative stock returns likely has a similar effect on the unconditional earnings-disclosure relation. This highlights the importance of avoiding earnings-based metrics in the sample selection procedure, and how this issue can have a nontrivial impact on the inferences that are drawn from certain disclosure studies. It also sheds light on one possible reason why prior studies like Francis et al. (1994) and Skinner (1997) find control firms with negative earnings surprises that do not make voluntary disclosures in the manner that litigation-risk-based hypotheses would predict—the negative earnings surprises may not translate into comparable stock price declines, which is a necessary condition for Rule 10b-5 litigation. The results in this study therefore suggest that future research on the earnings-disclosure relation should control for stock returns, and explicitly consider how the earnings-disclosure relation may cross-sectionally vary across firms. Results in this study should, however, be interpreted with caution because, given the industry membership and negative stock returns requirements I impose on my sample, the disclosure behavior I document may not be generalizable to the broader universe of firms. The paper proceeds as follows. In the next section, I review the relevant literature. Next, I discuss the sample selection process and research design. The following section presents empirical results. Lastly, I discuss conclusions and caveats. LITERATURE REVIEW In this study, I examine the relation between voluntary disclosures and earnings surprise for firms experiencing bad economic news. A large number of studies investigate the voluntary disclosure behavior of firms that experience bad economic news (e.g., Skinner, 1994, 1997; Francis et al., 1994; Kasznik and Lev, 1995; Aboody and Kasznik, 2000). The most prominent economic force examined in extant literature is litigation risk under SEC Rule 10b-5 (e.g., Trueman, 1997; Johnson et al., 2000), which states that it is unlawful for a firm to make an “untrue statement of a material fact or to omit to state a material fact necessary in order to make the statements [previously] made… not misleading.” Because managers have an asymmetric loss function, when they possess “sufficiently bad” news, they have an incentive to ex post voluntarily disclose the bad news in a timely manner to reduce expected litigation costs. Timely, curative disclosures (i.e., those that exhibit negative information content) reduce expected litigation costs because such disclosures counter allegations that the news was not released in a timely manner, and also reduce the class period and class size of potential lawsuits. Anecdotal evidence suggests that many Rule 10b-5 lawsuits are triggered by negative earnings surprises, so many disclosure studies use earnings surprise as a proxy for litigation risk and examine whether such earnings surprises are related to different levels of disclosure. Most disclosure studies therefore use earnings surprise as a proxy for litigation risk and examine whether negative earnings surprises are related to higher levels of disclosure. For instance, both Skinner (1994) and Kasznik and Lev (1995) find that firms with bad earnings surprises are at least twice as likely to provide voluntary, preemptive disclosures than those with good earnings surprises. This suggests that bad earnings surprises increase expected litigation costs (relative to good earnings surprises), and that firms increase preemptive disclosures to reduce such costs. However, other studies like Francis et al. (1994) find that for the majority of 10b-5 lawsuit firms, preemptive disclosures are not the panacea for litigation, but rather, the precipitating factor 2 ACCOUNTING & TAXATION ♦ Volume 1♦ Number 1♦ 2009 for it. Meanwhile, virtually all of the control firms in their sample (“at-risk” of litigation, but not sued) make no preemptive disclosures—though the at-risk firms exhibit a much more severe earnings decline (similarly, Skinner, 1997). Since preemptive disclosures should reduce litigation risk, not be the precipitous factor for such lawsuits, these studies are inconsistent with the notion that negative earnings surprises increase litigation risk. Moreover, there are other studies that find a positive earnings-disclosure relation because earnings surprises are considered good news (e.g., Miller, 2002) and fit into the typical motivation for the disclosure of good news (e.g., Verrecchia, 1983; Dye, 1985). And yet others find no relation (e.g., Lang and Lundholm, 1993). One possible explanation for these conflicting results is that, because of the noise and bias in GAAP, a negative earnings surprise does not necessarily suggest a short-term price decline (e.g., Kinney et al., 2002). This is a non-trivial point when considering bad news disclosures because the short-term price decline is a necessary condition for Rule 10b-5 litigation (e.g., Jones and Weingram, 1996), which is the main motivation for bad news
Recommended publications
  • Earningsinsight 021221.Pdf
    John Butters, Senior Earnings Analyst Media Questions/Requests [email protected] [email protected] February 12, 2021 Key Metrics Earnings Scorecard: For Q4 2020 (with 74% of the companies in the S&P 500 reporting actual results), 80% of S&P 500 companies have reported a positive EPS surprise and 78% have reported a positive revenue surprise. If 80% is the final percentage, it will mark the third-highest percentage of S&P 500 companies reporting a positive EPS surprise since FactSet began tracking this metric in 2008. Earnings Growth: For Q4 2020, the blended earnings growth rate for the S&P 500 is 2.9%. If 2.9% is the actual growth rate for the quarter, it will mark the first quarter in which the index has reported a year-over-year earnings growth since Q4 2019. Earnings Revisions: On December 31, the estimated earnings decline for Q4 2020 was -9.3%. Nine sectors have higher earnings growth rates or smaller earnings declines today (compared to December 31) due to positive EPS surprises. Earnings Guidance: For Q1 2021, 26 S&P 500 companies have issued negative EPS guidance and 46 S&P 500 companies have issued positive EPS guidance. Valuation: The forward 12-month P/E ratio for the S&P 500 is 22.2. This P/E ratio is above the 5-year average (17.7) and above the 10-year average (15.8). To receive this report via e-mail or view other articles with FactSet content, please go to: https://insight.factset.com/ All data published in this report is available on FactSet.
    [Show full text]
  • Earnings Quality White Paper
    Corporate Earnings: It’s not just a question of quantity September 30, 2007 Introduction outline the findings of our own research and illustrate They say beauty is only skin-deep. Investors would be how we have incorporated earnings quality analysis into wise to remember this aphorism when choosing stocks our investment process. since a company’s stated earnings, though eagerly watched by the market, are only ink-deep. To truly un- Background derstand a firm’s financial situation, it is important to The success Smith Group has achieved over the years consider the quality of a firm’s earnings, not just the is attributable to our ability to control portfolio risk and quantity. invest in companies whose earnings grow faster than the market expects. Because reported earnings are so The Basics... important to our process, and because managements have so many accounting tools available to them to Understanding the quality of earnings is important to forecasting the quantity and credibility of fu- manipulate earnings, it is important that we assess the ture earnings. credibility of earnings for every company we invest in our clients’ portfolios. Level of accruals, operating margins, asset turnover and expense exclusions are significant indicators of the degree of earnings quality. The foundations of our earnings quality model rest on a large array of research generated both externally and Earnings quality measures differ by industry, making internally. We have studied numerous academic papers customization of rankings models necessary. from some of the leading minds in the field. The out- Companies with high earnings quality have a come of this review was a confirmation of the primary higher likelihood of reporting positive earnings measures that we already use, but with some enhance- surprises in the future.
    [Show full text]
  • Start of an Earnings Surprise Cycle
    Kakao (035720 KS ) Start of an earnings surprise cycle Internet Earnings momentum comes a quarter earlier than expected Company Report For 1Q19, Kakao announced revenue of W706.3bn (+27.2% YoY) and operating profit of May 10, 2019 W27.7bn (+166.5% YoY), topping our expectations (W671bn and W18bn, respectively) and the consensus (W662bn and W21.3bn, respectively). The earnings beat was attributable to stronger-than-projected growth in Talk Biz (KakaoTalk-related revenue), New Biz (Kakao Pay and Kakao Mobility), and paid content (Maintain) Buy (Kakao Page and Japan-based Piccoma). In addition to earnings, the company highlighted a number of positive business Target Price (12M, W) 170,000 indicators, including Kakao Pay’s strong transaction volume (W10tr in 1Q19, versus W20tr in 2018), Kakao Page’s record-high transaction volume (W63bn), and a 177% YoY Share Price (05/09/19, W) 126,500 surge in Piccoma’s revenue. We believe such indicators paint a bullish picture for future earnings. Expected Return 34% Earnings expectations reset higher On its earnings call, management expressed strong confidence in KakaoTalk chat tab OP (19F, Wbn) 195 ads (product name “Bizboard”), which began trial services on May 2 nd . For 2019, Consensus OP (19F, Wbn) 144 management guided a 20% increase in overall ad s ales and more than 50% increase in EPS Growth (19F, %) 127.8 Talk Biz ad sales. Market EPS Growth (19F, %) -18.5 Despite unfavorable seasonality, Talk Biz revenue grew 43% YoY in 1Q19, suggesting P/E (19F, x) 90.6 increased ad inventory (number of advertiser accounts) on KakaoTalk’s “#” tab.
    [Show full text]
  • Revenues and Earnings As Key Value Drivers in Various Contexts
    Revenues and Earnings as Key Value Drivers in Various Contexts: Implications for Financial Management and Statement Analysis Itay Kama Graduate School of Business Administration Tel Aviv University Tel Aviv 69978, Israel [email protected] First Draft: December 2003 Current Draft: November 2004 I would like to thank my advisor, Eli Amir, for his comments and dedicated guidance. I also wish to thank Roy Dilmanian, Ronen Mansury, Dayna Kesten, participants at the 2004 Annual Congress of the European Accounting Association, and seminar participants at Tel Aviv University. Finally, I would like to thank the David Orgler Banking and Finance Research Fund and the Harry Simons Scholarship Fund for providing financial support. Revenues and Earnings as Key Value Drivers in Various Contexts: Implications for Financial Management and Statement Analysis Abstract This study examines the relative information content of revenues and earnings in various contexts. Although it is clear that investors' perception of the information content of accounting variables is colored by the contextual framework, the information content literature has not focused on the contextual analysis of information in revenues. I find that in contexts in which current earnings are a weak indicator of future earnings the role of earnings (revenues) is relatively less (more) important: High R&D firms, loss-reporting firms, and industries with oligopolistic competition. Due to relatively high earnings management, earnings have lower information content in the fourth quarter than in the first three fiscal quarters. Overall, these results have important implications for financial management and for financial statement users, in understanding the role earnings and revenues play in different contexts, such as R&D intensity, firm specification, and industry characteristics.
    [Show full text]
  • Free Cash Flow Disclosure in Earnings Announcements*
    Free Cash Flow Disclosure in Earnings Announcements* Katharine Adame [email protected] Jennifer Koski [email protected] Sarah McVay [email protected] University of Washington October 1, 2018 Abstract More companies are disclosing free cash flow in their earnings announcements. Companies choose a range of definitions for disclosed free cash flow, none of which correspond to the theoretical definition. The most common definition (in 38% of free cash flow disclosures) is operating cash flow minus capital expenditures. The decision to disclose free cash flow is associated with both information and opportunistic motives. The market reacts significantly and incrementally to free cash flow disclosure. Evidence suggests there is value-relevant information in free cash flow itself, in the decision to disclose free cash flow, and in the choice of definition. Keywords: Free Cash Flow, Valuation, Disclosure, Earnings Announcements JEL Classifications: G14, G31, G32 *We would like to thank Brandon Adame for his assistance with the Python programming and Rui Han for valuable research assistance. We also thank Ed deHaan, Ran Duchin, Chris Hrdlicka, Andrew Imdieke, Jeffrey Pontiff, Ed Rice, Lorien Stice and seminar participants at the University of North Carolina, the University of Notre Dame, and the University of Washington finance brown bag seminar for helpful comments. 1. Introduction In recent years, more companies have started voluntarily disclosing “free cash flow” to supplement earnings figures in their earnings announcements. Less than 10% of the Standard and Poor’s 1500 firms in our sample disclosed free cash flow in their annual earnings announcements in 2004; by 2016, this fraction more than doubled to over 20%.
    [Show full text]
  • Smoothness, Earnings Surprise and Stock Price Informativeness
    International Journal of Academic Research in Accounting, Finance and Management Sciences Vol. 4, No.2, April 2014, pp. 385–394 E-ISSN: 2225-8329, P-ISSN: 2308-0337 © 2014 HRMARS www.hrmars.com Smoothness, Earnings Surprise and Stock Price Informativeness. Evidence from Indian Stock Market Gregory D. LYIMO Birla Institute of Management Technology, Plot No. 5, Knowledge Park, Greater Noida (NCR) Uttar Pradesh - 201 306 The Institute of Finance Management (IFM) Shaaban Robert Street, P.O.BOX 3918, Dar es salaam, Tanzania, E-mail: [email protected] Abstract We examine the relationship between stock price synchronicity and earnings quality. We specifically used earning surprise and smoothness as proxy of earnings quality. Data were collected from companies listed in Bombay stock exchange in BSE 500. Our sample period ranges from 2006 to 2012. We employed panel data regression model using pooled OLS with standard error robust. We find that there is significant negative relationship between earnings surprise and stock price synchronicity. This finding is indicates that earnings surprise improves stock price informativeness. Finally, we find that there is no significance relationship between smoothness and stock price synchronicity. Therefore, smoothness of earnings does not influence stock price informativeness. The present study adds to new insight of the relationship between stock price informativeness and earnings quality proxies from emerging market particular India. Key words Earnings quality, earnings surprise, stock price synchronicity, stock price informativeness DOI: 10.6007/IJARAFMS/v4-i2/936 URL: http://dx.doi.org/10.6007/IJARAFMS/v4-i2/936 1. Introduction During recent years, the importance of improving informativeness of stock price so as to improve resources allocation have emerged issues of concern to researchers and other market participants (Durnev et al., 2004; Piotroski and Roulstone 2004; Jing 2007; and Johnston 2009).
    [Show full text]
  • Assessing the Effects of Earnings Surprise on Returns and Volatility with High Frequency Data
    Assessing the Effects of Earnings Surprise on Returns and Volatility with High Frequency Data Sam Lim Professor George Tauchen, Faculty Advisor Fall 2009 Duke University is a community dedicated to scholarship, leadership, and service and to the principles of honesty, fairness, respect, and accountability. Citizens of this community commit to reflect upon and uphold these principles in all academic and non-academic endeavors, and to protect and promote a culture of integrity. To uphold the Duke Community Standard: • I will not lie, cheat, or steal in my academic endeavors; • I will conduct myself honorably in all my endeavors; and • I will act if the Standard is compromised. 2 I. Introduction A company’s earnings play a key role in the valuation of its stock, and thus earnings estimates, as well as earnings announcements, are always carefully scrutinized—sometimes to the point where they may matter more than actual performance. In the third quarter of 2006, Alcoa reported it was experiencing the best year in its entire history, generating more profit in the first nine months than any previous year in over a century. Despite its exceptional performance, Alcoa’s shares fell six percent in the extended trading period after the results were posted. Its fault was missing Wall Street’s estimates (Mandaro 2006). Although earnings announcements are reported only four times a year, in conjunction with analyst estimates, their potentially significant effects on stock prices suggest that analyzing price behavior on earnings announcement dates can yield important insights on how the market uses the information from these numbers. According to the Gordon Growth Model, the basic fundamental method of valuing stocks, a stock’s current price P depends on the expected earnings De, the growth rate of the dividend g, and the required rate of return for the investor k such that ̾ ͊ = ͟ − ͛ The efficient-markets hypothesis asserts that investors constantly update the stock price as they receive new information.
    [Show full text]
  • FORECASTING VOLUME and PRICE IMPACT of EARNINGS SURPRISES USING GOOGLE INSIGHTS Jedediah Baker, Alliant International University
    The International Journal of Business and Finance Research Vol. 10, No. 4, 2016, pp. 53-62 ISSN: 1931-0269 (print) www.theIBFR.com ISSN: 2157-0698 (online) FORECASTING VOLUME AND PRICE IMPACT OF EARNINGS SURPRISES USING GOOGLE INSIGHTS Jedediah Baker, Alliant International University ABSTRACT This paper examines the predictability of price and volume movements using Google Insights on equities exhibiting earnings surprise and the association with pre-announcement information searching. The motivation for this paper is to answer two primary research questions. First of all, using more recent stocks earnings surprise, is Google search data a good indicator of investor interest prior to the earnings announcement? Second does the Google data add to the predictability of post earnings volume and pricing direction? Data on earnings surprise were taken from Yahoo Finance and Google search volume data were taken from the Google trends website. While the results found in the analyses above are not highly convincing regarding Google trends data and price movement from earnings surprise, the results on the volume models yielded promising (i.e. significant) results. Moreover, Mean Absolute Error was reduced by approximately 8% when incorporating the Google trends data on volume predictions. JEL: G17 KEYWORDS: Predictability, Volume Movements, Earnings Surprise, Google INTRODUCTION inancial research suggests that the impact of earnings surprise on firms quoted price is a function of investor’s expectation of the surprise, as well as their reaction to the surprise itself (c.f. Atiase and F Bamber, 1994 and Barberis, Shleifer and Vishny, 1998). This implies that pre-earnings expectations will absorb some of the price movements associated with the actual earnings surprise.
    [Show full text]
  • Weekly Market Guide Since Breaking out to New Highs in November, the S&P 500 Has Continued to Glide Higher Through the Seasonally Strong Period of the Year
    PORTFOLIO STRATEGY | PUBLISHED BY RAYMOND JAMES & ASSOCIATES Michael Gibbs, Director of Equity Portfolio & Technical Strategy | (901) 579-4346 | [email protected] JANUARY 14, 2021 | 11:51 AM EST Joey Madere, CFA | (901) 529-5331 | [email protected] Richard Sewell, CFA | (901) 524-4194 | [email protected] Mitch Clayton, CMT, Senior Technical Analyst | (901) 579-4812 | [email protected] Weekly Market Guide Since breaking out to new highs in November, the S&P 500 has continued to glide higher through the seasonally strong period of the year. Enormous strength from the most risk-on areas during this time frame was triggered by positive vaccine news in early November, allowing for optimism toward an economic reopening in 2021. Technical momentum toward the reflation trade remains strong with added support in recent days from positive vaccine news (Johnson&Johnson early vaccine study) and reports that President-elect Biden is set to unveil a ~$2T fiscal stimulus package tonight (on top of the $900B in relief passed a few weeks ago). The unprecedented amount of both fiscal and monetary stimulus remains supportive of equity markets in our view. Eventually, the market will need to digest this strength but, for now, the trend remains your friend. The S&P 500, along with some of the more cyclical areas (i.e. small caps, banks, equal weight consumer discretionary), have been able to trade above their 20-day moving averages since early November. We will be monitoring price action around this level for potential cracks in the short term trend that may lead to an eventual digestion period.
    [Show full text]
  • Why Firms Voluntarily Disclose Bad News Author(S): Douglas J
    Accounting Research Center, Booth School of Business, University of Chicago Why Firms Voluntarily Disclose Bad News Author(s): Douglas J. Skinner Reviewed work(s): Source: Journal of Accounting Research, Vol. 32, No. 1 (Spring, 1994), pp. 38-60 Published by: Blackwell Publishing on behalf of Accounting Research Center, Booth School of Business, University of Chicago Stable URL: http://www.jstor.org/stable/2491386 . Accessed: 02/07/2012 02:10 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . http://www.jstor.org/page/info/about/policies/terms.jsp . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected]. Blackwell Publishing and Accounting Research Center, Booth School of Business, University of Chicago are collaborating with JSTOR to digitize, preserve and extend access to Journal of Accounting Research. http://www.jstor.org Journal of Accounting Research Vol. 32 No. 1 Spring 1994 Printed in U.S.A. Why Firms Voluntarily Disclose Bad News DOUGLAS J. SKINNER* 1. Introduction This paper provides evidence on corporate voluntary disclosure practices through an examination of the earnings-related disclosures made by a random sample of 93 NASDAQ firms during 1981-90.' I find that, consistent with prior studies, earnings-related voluntary disclo- sures occur infrequently (on average, one disclosure for every ten quarterly earnings announcements); good news disclosures tend to be point or range estimates of annual earnings-per-share (EPS), while bad news disclosures tend to be qualitative statements about the current quarter's earnings; the (unconditional) stock price response to bad *University of Michigan.
    [Show full text]
  • The Unappreciated Value of Marketing Metrics
    Marketing Science Institute Special Report 09-204 The Unappreciated Value of Marketing: The Moderating Role of Changes in Marketing and R&D Spending on Valuation of Earnings Reports Isaac Dinner, Natalie Mizik, and Donald Lehmann Copyright 2009 Isaac Dinner, Natalie Mizik, and Donald Lehmann MSI special reports are in draft form and are distributed online only for the benefit of MSI corporate and academic members. Reports are not to be reproduced or published, in any form or by any means, electronic or mechanical, without written permission. The Unappreciated Value of Marketing: The Moderating Role of Changes in Marketing and R&D Spending on Valuation of Earnings Reports Isaac Dinner Natalie Mizik Don Lehmann March 25, 2009 Corresponding author: Isaac Dinner, Columbia Business School, 3022 Broadway, Uris Hall, New York, NY 10027, [email protected] 1 The Unappreciated Value of Marketing: The Moderating Role of Changes in Marketing and R&D Spending on Valuation of Earnings Reports Abstract Because current earnings predict future financial performance, the stock market reacts strongly to earnings announcements. How rapidly and in what manner information about marketing actions and strategies is accounted for in the stock valuation is less clear. We examine the financial market’s ability to fully and timely value marketing-related information released along with quarterly earnings announcements. We find evidence consistent with the market initially under-appreciating marketing and R&D effort. Specifically, we find differences in the immediate market response to earnings announcements for firms expanding versus reducing their marketing and R&D effort. However, we also observe a significantly greater positive stock price drift (i.e., systematic stock price adjustment) in the months following an earnings announcement for firms increasing marketing and/or R&D expenditures.
    [Show full text]
  • Predictors of the Degree of Positive Earnings Surprises
    Open Journal of Accounting, 2016, 5, 25-34 Published Online July 2016 in SciRes. http://www.scirp.org/journal/ojacct http://dx.doi.org/10.4236/ojacct.2016.53004 Predictors of the Degree of Positive Earnings Surprises Rebecca Abraham, Charles Harrington Huizenga College of Business, Nova Southeastern University, Fort Lauderdale, FL, USA Received 24 April 2016; accepted 27 June 2016; published 30 June 2016 Copyright © 2016 by authors and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/ Abstract This study identifies the predictors of positive earnings surprises at varying levels of earnings surprises under strong and weak business conditions (2014 and 2010, respectively). It measures the impact on surprises of a unique and diverse set of predictors such as analyst coverage and in- dustry type which are security characteristics and sales and cash flow that emanate from financial statements. The study employs technology stocks that were found on the NASDAQ as such stocks have reported high positive earnings surprises from 2013-2015 [1]. The entire population of posi- tive earnings surprises for 8316 NASDAQ stocks in 2010 and 2014 was used. Event studies were used to measure abnormal return and abnormal volume at earnings announcement, while mul- tiple regressions tested the influence of the predictors of positive earnings surprises including number of analysts, sales, cash flow and industry type. Number of analysts significantly predicted positive earnings surprises of <20%, 21% - 30%, 31% - 100% and > 100% regardless of business condition, while sales and industry type showed similar results for weak business conditions.
    [Show full text]